BayesFlow Stochastic Tensors (contrib)

Classes and helper functions for creating Stochastic Tensors.

StochasticTensor objects wrap Distribution objects. Their values may be samples from the underlying distribution, or the distribution mean (as governed by value_type). These objects provide a loss method for use when sampling from a non-reparameterized distribution. The lossmethod is used in conjunction with stochastic_graph.surrogate_loss to produce a single differentiable loss in stochastic graphs having both continuous and discrete stochastic nodes.

Stochastic Tensor Classes

• tf.contrib.bayesflow.stochastic_tensor.BaseStochasticTensor
• tf.contrib.bayesflow.stochastic_tensor.StochasticTensor

Stochastic Tensor Value Types

• tf.contrib.bayesflow.stochastic_tensor.MeanValue
• tf.contrib.bayesflow.stochastic_tensor.SampleValue
• tf.contrib.bayesflow.stochastic_tensor.value_type
• tf.contrib.bayesflow.stochastic_tensor.get_current_value_type